{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "initial_id",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50000, 2)\n",
      "(50000,)\n",
      "[0 1]\n"
     ]
    }
   ],
   "source": [
    "from sklearn import datasets\n",
    "import numpy as np\n",
    "# 生成数据，x是特征，y是标签，n_samples是样本数量，noise是噪声，random_state是随机种子\n",
    "x, y = datasets.make_moons(n_samples=50000, noise=0.3, random_state=42) # make_moons是生成半月形数据\n",
    "print(x.shape)\n",
    "print(y.shape)\n",
    "print(np.unique(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d8aea525",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "from matplotlib.colors import ListedColormap\n",
    "\n",
    "# 设置中文字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 使用黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False    # 解决负号显示问题\n",
    "\n",
    "# 创建一个散点图来可视化数据\n",
    "plt.figure(figsize=(10, 6))\n",
    "# 创建红蓝配色方案\n",
    "colors = ListedColormap(['blue', 'red'])\n",
    "# 使用scatter函数创建散点图\n",
    "# x[:, 0]：选取所有样本的第一个特征作为x轴坐标\n",
    "# x[:, 1]：选取所有样本的第二个特征作为y轴坐标\n",
    "# c=y：根据标签y的值来确定点的颜色，与前面定义的colors色图对应\n",
    "# cmap=colors：使用前面定义的ListedColormap，将类别0映射为蓝色，类别1映射为红色\n",
    "# s=50：设置点的大小为50\n",
    "# alpha=0.7：设置点的透明度为0.7，使重叠的点可以被看到\n",
    "plt.scatter(x[:, 0], x[:, 1], c=y, cmap=colors, s=50, alpha=0.7)\n",
    "plt.colorbar(label='类别')\n",
    "plt.title('半月形数据集可视化')\n",
    "plt.xlabel('特征 1')\n",
    "plt.ylabel('特征 2')\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "543ba898",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练基分类器...\n",
      "逻辑回归 准确率: 0.8535\n",
      "SVC 准确率: 0.9123\n",
      "决策树 准确率: 0.9054\n",
      "\n",
      "实现投票法集成...\n",
      "硬投票集成准确率: 0.9123\n",
      "软投票集成准确率: 0.9078\n"
     ]
    }
   ],
   "source": [
    "# 并行集成\n",
    "from sklearn.model_selection import train_test_split  # 导入数据集划分工具\n",
    "from sklearn.linear_model import LogisticRegression  # 导入逻辑回归模型\n",
    "from sklearn.svm import SVC  # 导入支持向量机模型\n",
    "from sklearn.tree import DecisionTreeClassifier  # 导入决策树分类器\n",
    "from sklearn.metrics import accuracy_score  # 导入准确率评估指标\n",
    "import numpy as np  # 导入numpy库用于数值计算\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=42)  # 将数据集划分为80%训练集和20%测试集，设置随机种子为42\n",
    "\n",
    "# 创建三个基分类器\n",
    "lr = LogisticRegression(max_iter=1000)  # 创建逻辑回归模型，设置最大迭代次数为1000\n",
    "svc = SVC(kernel='rbf', probability=True)  # 创建支持向量机模型，使用径向基函数核，启用概率输出\n",
    "dt = DecisionTreeClassifier(max_depth=5)  # 创建决策树分类器，设置最大深度为5\n",
    "\n",
    "# 训练基分类器\n",
    "print(\"训练基分类器...\")  # 打印训练开始提示\n",
    "lr.fit(X_train, y_train)  # 训练逻辑回归模型\n",
    "svc.fit(X_train, y_train)  # 训练支持向量机模型\n",
    "dt.fit(X_train, y_train)  # 训练决策树模型\n",
    "\n",
    "# 在测试集上评估基分类器性能\n",
    "lr_pred = lr.predict(X_test)  # 使用逻辑回归模型预测测试集\n",
    "svc_pred = svc.predict(X_test)  # 使用支持向量机模型预测测试集\n",
    "dt_pred = dt.predict(X_test)  # 使用决策树模型预测测试集\n",
    "\n",
    "print(f\"逻辑回归 准确率: {accuracy_score(y_test, lr_pred):.4f}\")  # 打印逻辑回归模型的准确率，保留4位小数\n",
    "print(f\"SVC 准确率: {accuracy_score(y_test, svc_pred):.4f}\")  # 打印支持向量机模型的准确率，保留4位小数\n",
    "print(f\"决策树 准确率: {accuracy_score(y_test, dt_pred):.4f}\")  # 打印决策树模型的准确率，保留4位小数\n",
    "\n",
    "# 实现投票法集成\n",
    "print(\"\\n实现投票法集成...\")  # 打印投票法集成开始提示\n",
    "# 硬投票（多数投票）\n",
    "ensemble_hard_pred = np.zeros(len(y_test))  # 创建一个与测试集大小相同的零数组，用于存储硬投票结果\n",
    "for i in range(len(y_test)):  # 遍历测试集中的每个样本\n",
    "    votes = [lr_pred[i], svc_pred[i], dt_pred[i]]  # 获取三个模型对当前样本的预测结果\n",
    "    # 统计票数，选择票数最多的类别\n",
    "    ensemble_hard_pred[i] = np.argmax(np.bincount(votes))  # 使用bincount统计各类别票数，选择票数最多的类别作为最终预测\n",
    "\n",
    "print(f\"硬投票集成准确率: {accuracy_score(y_test, ensemble_hard_pred):.4f}\")  # 打印硬投票集成的准确率，保留4位小数\n",
    "\n",
    "# 软投票（概率平均）\n",
    "lr_proba = lr.predict_proba(X_test)  # 获取逻辑回归模型的预测概率\n",
    "svc_proba = svc.predict_proba(X_test)  # 获取支持向量机模型的预测概率\n",
    "dt_proba = dt.predict_proba(X_test)  # 获取决策树模型的预测概率\n",
    "\n",
    "# 计算平均概率\n",
    "ensemble_soft_proba = (lr_proba + svc_proba + dt_proba) / 3  # 计算三个模型预测概率的平均值\n",
    "ensemble_soft_pred = np.argmax(ensemble_soft_proba, axis=1)  # 选择平均概率最高的类别作为最终预测\n",
    "\n",
    "print(f\"软投票集成准确率: {accuracy_score(y_test, ensemble_soft_pred):.4f}\")  # 打印软投票集成的准确率，保留4位小数\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6b94408e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "手动硬投票集成学习准确率: 0.9123\n"
     ]
    }
   ],
   "source": [
    "# lr_pred = lr.predict(X_test)\n",
    "# svc_pred = svc.predict(X_test)\n",
    "# dt_pred = dt.predict(X_test)\n",
    "\n",
    "# 手动实现硬投票集成学习,lr_read,svc_read,dt_read是三个分类器的预测结果\n",
    "# 这行代码实现了硬投票集成学习的决策过程：\n",
    "# 1. lr_read, svc_read, dt_read 是三个基分类器的预测结果（0或1）\n",
    "# 2. 将三个预测结果相加，得到的值范围是0-3\n",
    "# 3. 判断总和是否大于等于2，即至少有2个分类器预测为1\n",
    "# 4. 如果大于等于2，则集成结果为1；否则为0\n",
    "# 5. np.array(..., dtype='int')将布尔结果转换为整数（0或1）\n",
    "ensemble_pred = np.array((lr_pred+svc_pred+dt_pred)>=2,dtype='int') \n",
    "# 计算手动集成学习的准确率\n",
    "ensemble_accuracy = np.mean(ensemble_pred == y_test)\n",
    "print(f\"手动硬投票集成学习准确率: {ensemble_accuracy:.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4e1c6e7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sklearn软投票集成分类器准确率: 0.9079\n"
     ]
    }
   ],
   "source": [
    "# 使用sklearn实现软投票集成分类器\n",
    "from sklearn.ensemble import VotingClassifier\n",
    "\n",
    "# 创建软投票集成分类器\n",
    "# 参数说明：\n",
    "# - estimators: 包含多个基础分类器的列表，每个元素为(名称, 分类器)的元组\n",
    "# - voting: 'soft'表示使用预测概率进行加权投票\n",
    "# - weights: 可选参数，为每个分类器分配权重，这里我们使用相等权重\n",
    "voting_clf = VotingClassifier(\n",
    "    estimators=[('lr', lr), ('svc', svc), ('dt', dt)],\n",
    "    voting='soft'\n",
    ")\n",
    "\n",
    "# 使用训练数据拟合集成分类器\n",
    "voting_clf.fit(X_train, y_train)\n",
    "\n",
    "# 在测试集上进行预测\n",
    "voting_pred = voting_clf.predict(X_test)\n",
    "\n",
    "# 计算并打印集成分类器的准确率\n",
    "voting_accuracy = accuracy_score(y_test, voting_pred)\n",
    "print(f\"sklearn软投票集成分类器准确率: {voting_accuracy:.4f}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b4c4e5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bagging决策树集成分类器准确率: 0.9038\n",
      "Bagging决策树集成分类器OOB评分: 0.9024\n",
      "单个决策树分类器准确率: 0.8721\n",
      "Bagging相对于单个决策树的准确率提升: 0.0317\n"
     ]
    }
   ],
   "source": [
    "# 导入Bagging集成学习分类器\n",
    "from sklearn.ensemble import BaggingClassifier\n",
    "# 导入决策树分类器作为基分类器\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "# 创建基分类器 - 决策树，设置随机种子为42确保结果可复现\n",
    "base_estimator = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# 创建Bagging分类器实例\n",
    "# 参数说明:\n",
    "# - estimator: 基分类器，这里使用决策树 (注意：新版本sklearn中使用estimator而不是base_estimator)\n",
    "# - n_estimators: 集成中基分类器的数量，设置为100个\n",
    "# - max_samples: 每个基分类器训练时使用的样本比例，这里设为80%的训练数据\n",
    "# - bootstrap: True表示有放回抽样，使每个基分类器的训练集有差异\n",
    "# - random_state: 随机种子，设为42确保结果可复现\n",
    "bagging_clf = BaggingClassifier(\n",
    "    estimator=base_estimator,       # 使用前面定义的决策树作为基分类器\n",
    "    n_estimators=100,               # 使用100个基分类器\n",
    "    max_samples=0.8,                # 每个基分类器使用80%的训练样本\n",
    "    bootstrap=True,                 # 使用有放回抽样\n",
    "    random_state=42,                # 设置随机种子\n",
    "    oob_score=True                  # 没有抽样到的样本准确率\n",
    ")\n",
    "\n",
    "# 使用训练数据拟合Bagging分类器模型\n",
    "bagging_clf.fit(X_train, y_train)\n",
    "\n",
    "# 使用训练好的模型在测试集上进行预测\n",
    "bagging_pred = bagging_clf.predict(X_test)\n",
    "\n",
    "# 计算Bagging分类器在测试集上的准确率\n",
    "bagging_accuracy = accuracy_score(y_test, bagging_pred)\n",
    "# 打印Bagging分类器的准确率，保留4位小数\n",
    "print(f\"Bagging决策树集成分类器准确率: {bagging_accuracy:.4f}\")\n",
    "\n",
    "# 打印袋外(OOB)评分，这是使用未参与训练的样本评估的准确率\n",
    "print(f\"Bagging决策树集成分类器OOB评分: {bagging_clf.oob_score_:.4f}\")\n",
    "\n",
    "\n",
    "# 使用训练数据拟合决策树模型\n",
    "base_estimator.fit(X_train, y_train)\n",
    "# 在测试集上进行预测\n",
    "tree_pred = base_estimator.predict(X_test)\n",
    "# 计算单个决策树的准确率\n",
    "tree_accuracy = accuracy_score(y_test, tree_pred)\n",
    "# 打印单个决策树的准确率，保留4位小数\n",
    "print(f\"单个决策树分类器准确率: {tree_accuracy:.4f}\")\n",
    "\n",
    "# 比较单个决策树与Bagging集成的性能差异\n",
    "print(f\"Bagging相对于单个决策树的准确率提升: {bagging_accuracy - tree_accuracy:.4f}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b14084cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "无放回抽样Bagging决策树集成分类器准确率: 0.8938\n",
      "无放回抽样相对于有放回抽样的准确率差异: -0.0100\n"
     ]
    }
   ],
   "source": [
    "# 创建使用无放回抽样的Bagging分类器\n",
    "# 参数说明:\n",
    "# - estimator: 基分类器，使用决策树\n",
    "# - n_estimators: 集成中基分类器的数量，设置为100个\n",
    "# - max_samples: 每个基分类器训练时使用的样本比例，这里设为80%的训练数据\n",
    "# - bootstrap: False表示无放回抽样，每个样本在每个基分类器中最多使用一次\n",
    "# - random_state: 随机种子，设为42确保结果可复现\n",
    "bagging_no_replacement = BaggingClassifier(\n",
    "    estimator=base_estimator,       # 使用前面定义的决策树作为基分类器\n",
    "    n_estimators=100,               # 使用100个基分类器\n",
    "    max_samples=0.8,                # 每个基分类器使用80%的训练样本\n",
    "    bootstrap=False,                # 使用无放回抽样\n",
    "    random_state=42                 # 设置随机种子\n",
    ")\n",
    "\n",
    "# 使用训练数据拟合无放回抽样的Bagging分类器模型\n",
    "bagging_no_replacement.fit(X_train, y_train)\n",
    "\n",
    "# 使用训练好的模型在测试集上进行预测\n",
    "bagging_no_replacement_pred = bagging_no_replacement.predict(X_test)\n",
    "\n",
    "# 计算无放回抽样Bagging分类器在测试集上的准确率\n",
    "bagging_no_replacement_accuracy = accuracy_score(y_test, bagging_no_replacement_pred)\n",
    "# 打印无放回抽样Bagging分类器的准确率，保留4位小数\n",
    "print(f\"无放回抽样Bagging决策树集成分类器准确率: {bagging_no_replacement_accuracy:.4f}\")\n",
    "\n",
    "# 比较有放回抽样与无放回抽样的Bagging性能差异\n",
    "print(f\"无放回抽样相对于有放回抽样的准确率差异: {bagging_no_replacement_accuracy - bagging_accuracy:.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "985c8a7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "单线程 Bagging 训练时间: 21.06秒\n",
      "多线程 Bagging 训练时间: 6.19秒\n",
      "加速比: 3.40倍\n",
      "\n",
      "决策树(基分类器)准确率: 0.9054\n",
      "单线程 Bagging 准确率: 0.8741\n",
      "多线程 Bagging 准确率: 0.8741\n"
     ]
    }
   ],
   "source": [
    "# 添加njobs参数并统计训练时间\n",
    "import time\n",
    "from joblib import parallel_backend\n",
    "\n",
    "# 创建一个决策树作为基分类器\n",
    "base_clf = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# 不使用并行计算（单线程）\n",
    "start_time_single = time.time()\n",
    "bagging_clf_single = BaggingClassifier(\n",
    "    estimator=base_clf,\n",
    "    n_estimators=100,\n",
    "    bootstrap=False,\n",
    "    max_samples=40000,\n",
    "    n_jobs=1,  # 单线程\n",
    "    random_state=42\n",
    ")\n",
    "bagging_clf_single.fit(X_train, y_train)\n",
    "single_time = time.time() - start_time_single\n",
    "\n",
    "base_clf = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# 使用并行计算（多线程）\n",
    "start_time_multi = time.time()\n",
    "bagging_clf_multi = BaggingClassifier(\n",
    "    estimator=base_clf,\n",
    "    n_estimators=100,\n",
    "    bootstrap=False,\n",
    "    max_samples=40000,\n",
    "    n_jobs=-1,  # 使用所有可用的CPU核心\n",
    "    random_state=42\n",
    ")\n",
    "bagging_clf_multi.fit(X_train, y_train)\n",
    "multi_time = time.time() - start_time_multi\n",
    "\n",
    "# 预测并计算准确率\n",
    "single_pred = bagging_clf_single.predict(X_test)\n",
    "multi_pred = bagging_clf_multi.predict(X_test)\n",
    "\n",
    "single_accuracy = accuracy_score(y_test, single_pred)\n",
    "multi_accuracy = accuracy_score(y_test, multi_pred)\n",
    "\n",
    "# 输出结果\n",
    "print(\"单线程 Bagging 训练时间: {:.2f}秒\".format(single_time))\n",
    "print(\"多线程 Bagging 训练时间: {:.2f}秒\".format(multi_time))\n",
    "print(\"加速比: {:.2f}倍\".format(single_time / multi_time))\n",
    "print()\n",
    "print(\"决策树(基分类器)准确率:\", accuracy_score(y_test, dt_pred))\n",
    "print(\"单线程 Bagging 准确率:\", single_accuracy)\n",
    "print(\"多线程 Bagging 准确率:\", multi_accuracy)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "70e5cf55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "决策树(基分类器)准确率: 0.9054\n",
      "Bagging集成准确率: 0.8751\n"
     ]
    }
   ],
   "source": [
    "# 创建一个决策树作为基分类器\n",
    "base_clf = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# 创建Bagging分类器，使用决策树作为基本分类器\n",
    "bagging_clf = BaggingClassifier(\n",
    "    estimator=base_clf,\n",
    "    n_estimators=100,  # 使用100个基分类器\n",
    "    bootstrap=False,   \n",
    "    max_samples=40000,   \n",
    "    random_state=42,\n",
    "    bootstrap_features=True # 这个参数设置为True表示在构建每个基分类器时，不仅对样本进行抽样，还会对特征进行随机抽样。\n",
    "                           # 这增加了基分类器之间的多样性，因为每个分类器会使用不同的特征子集来训练，有助于减少过拟合并提高集成模型的泛化能力。\n",
    ")\n",
    "\n",
    "# 训练Bagging分类器\n",
    "bagging_clf.fit(X_train, y_train)\n",
    "\n",
    "\n",
    "# 预测\n",
    "bagging_pred = bagging_clf.predict(X_test)\n",
    "bagging_accuracy = accuracy_score(y_test, bagging_pred)\n",
    "\n",
    "# 输出结果\n",
    "print(\"决策树(基分类器)准确率:\", accuracy_score(y_test, dt_pred))\n",
    "print(\"Bagging集成准确率:\", bagging_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2f6485d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "决策树(基分类器)准确率: 0.9054\n",
      "Bagging集成准确率: 0.8751\n",
      "ExtraTrees集成准确率: 0.9018\n"
     ]
    }
   ],
   "source": [
    "# 创建ExtraTrees分类器\n",
    "# ExtraTrees（Extremely Randomized Trees）是一种集成学习方法，它与随机森林类似，但在树的构建过程中引入了更多的随机性,随机阈值\n",
    "\n",
    "# 导入ExtraTreesClassifier\n",
    "from sklearn.ensemble import ExtraTreesClassifier,RandomForestClassifier\n",
    "\n",
    "# 创建ExtraTrees分类器\n",
    "extra_trees_clf = ExtraTreesClassifier(\n",
    "    n_estimators=100,  # 使用100个树\n",
    "    criterion='gini',  # 使用基尼不纯度作为分裂标准\n",
    "    max_depth=None,    # 树的最大深度，None表示不限制\n",
    "    min_samples_split=2,  # 分裂一个内部节点所需的最小样本数\n",
    "    min_samples_leaf=1,   # 在叶节点处需要的最小样本数\n",
    "    max_features='sqrt',  # 寻找最佳分割时考虑的特征数量\n",
    "    bootstrap=False,      # 是否使用bootstrap抽样\n",
    "    random_state=42,      # 随机种子，确保结果可复现\n",
    "    n_jobs=-1             # 使用所有可用的CPU核心\n",
    ")\n",
    "\n",
    "# 训练ExtraTrees分类器\n",
    "extra_trees_clf.fit(X_train, y_train)\n",
    "\n",
    "# 预测\n",
    "extra_trees_pred = extra_trees_clf.predict(X_test)\n",
    "extra_trees_accuracy = accuracy_score(y_test, extra_trees_pred)\n",
    "\n",
    "# 输出结果\n",
    "print(\"决策树(基分类器)准确率:\", accuracy_score(y_test, dt_pred))\n",
    "print(\"Bagging集成准确率:\", bagging_accuracy)\n",
    "print(\"ExtraTrees集成准确率:\", extra_trees_accuracy)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f22970f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 串行集成学习\n",
    "# 导入AdaBoost分类器\n",
    "from sklearn.ensemble import AdaBoostClassifier  # 导入AdaBoost分类器类\n",
    "from sklearn.tree import DecisionTreeClassifier  # 导入决策树分类器类\n",
    "import numpy as np  # 导入numpy库，用于数值计算\n",
    "import matplotlib.pyplot as plt  # 导入matplotlib库，用于数据可视化\n",
    "\n",
    "# 创建基分类器 - 使用决策树作为AdaBoost的基分类器\n",
    "base_clf = DecisionTreeClassifier(max_depth=1)  # 决策树桩(深度为1的决策树)\n",
    "\n",
    "# 创建AdaBoost分类器\n",
    "ada_clf = AdaBoostClassifier(\n",
    "    estimator=base_clf,         # 基分类器\n",
    "    n_estimators=50,            # 弱分类器的数量\n",
    "    learning_rate=1.0,          # 学习率\n",
    "    random_state=42             # 随机种子，确保结果可复现\n",
    ")\n",
    "\n",
    "# 训练AdaBoost分类器\n",
    "ada_clf.fit(X_train, y_train)  # 使用训练数据拟合AdaBoost模型\n",
    "\n",
    "# 预测\n",
    "ada_pred = ada_clf.predict(X_test)  # 使用训练好的模型对测试集进行预测\n",
    "ada_accuracy = accuracy_score(y_test, ada_pred)  # 计算预测准确率\n",
    "\n",
    "print(\"AdaBoost集成准确率:\", ada_accuracy)  # 打印AdaBoost模型的准确率\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "859485eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GBDT集成准确率: 0.9124\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 导入梯度提升决策树分类器\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 创建GBDT分类器\n",
    "gbdt_clf = GradientBoostingClassifier(\n",
    "    n_estimators=100,           # 弱分类器的数量\n",
    "    learning_rate=0.1,          # 学习率\n",
    "    max_depth=3,                # 决策树的最大深度\n",
    "    min_samples_split=2,        # 分裂内部节点所需的最小样本数\n",
    "    min_samples_leaf=1,         # 叶节点所需的最小样本数\n",
    "    subsample=1.0,              # 用于拟合各个基础学习器的样本比例\n",
    "    random_state=42             # 随机种子，确保结果可复现\n",
    ")\n",
    "\n",
    "# 训练GBDT分类器\n",
    "gbdt_clf.fit(X_train, y_train)\n",
    "\n",
    "# 预测\n",
    "gbdt_pred = gbdt_clf.predict(X_test)\n",
    "gbdt_accuracy = accuracy_score(y_test, gbdt_pred)\n",
    "\n",
    "print(\"GBDT集成准确率:\", gbdt_accuracy)\n",
    "\n",
    "# 绘制GBDT的训练过程中的损失函数变化\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(np.arange(1, len(gbdt_clf.train_score_) + 1), gbdt_clf.train_score_, 'b-', label='训练集得分')\n",
    "plt.xlabel('迭代次数')\n",
    "plt.ylabel('得分')\n",
    "plt.title('GBDT训练过程中的得分变化')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
